Making the Rules: The Governance of Standard Development Organizations and their Policies on Intellectual Property Rights
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study provides a comprehensive analysis of the governance of standard development organizations (SDOs), with a particular emphasis on organizations developing standards for Information and Communication Technologies (ICT). The analysis is based on 17 SDO case studies, a survey of SDO stakeholders, an expert workshop, and a comprehensive review of the legal and economic literature. The study considers the external factors conditioning SDO decision making on rules and procedures, including binding legal requirements, government influence, the network of cooperative relationships with other SDOs and related organizations, and competitive forces. SDO decision-making is also shaped by internal factors, such as the SDOs’ institutional architecture of decision-making bodies and their respective decision-making processes, which govern the interaction among SDO stakeholders and between stakeholders and the SDO itself. The study also analyzes governance principles, such as openness, balance of interests, and consensus decision-making, and discusses their interplay. The insights from these analyses are applied to SDO decision making on Intellectual Property Rights (IPR) policies, which represents a particularly salient and controversial aspect of SDO policy development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it